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Know When To Stop: A Study of Semantic Drift in Text Generation

Know When To Stop: A Study of Semantic Drift in Text Generation

8 April 2024
Ava Spataru
Eric Hambro
Elena Voita
Nicola Cancedda
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Papers citing "Know When To Stop: A Study of Semantic Drift in Text Generation"

4 / 4 papers shown
Title
Natural Language Inference Improves Compositionality in Vision-Language
  Models
Natural Language Inference Improves Compositionality in Vision-Language Models
Paola Cascante-Bonilla
Yu Hou
Yang Trista Cao
Hal Daumé III
Rachel Rudinger
ReLM
CoGe
VLM
36
3
0
29 Oct 2024
On the Limitations of Reference-Free Evaluations of Generated Text
On the Limitations of Reference-Free Evaluations of Generated Text
Daniel Deutsch
Rotem Dror
Dan Roth
27
44
0
22 Oct 2022
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
214
140
0
18 Apr 2021
A Theoretical Analysis of the Repetition Problem in Text Generation
A Theoretical Analysis of the Repetition Problem in Text Generation
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
67
89
0
29 Dec 2020
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